List of Top 12 Coding Channels on WhatsApp:
1. Python Programming:
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
2. Coding Resources:
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
3. Coding Projects:
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
4. Coding Interviews:
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
5. Java Programming:
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
6. Javascript:
https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
7. Web Development:
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
8. Artificial Intelligence:
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
9. Data Science:
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
10. Machine Learning:
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
11. SQL:
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
12. GitHub:
https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43
ENJOY LEARNING ๐๐
1. Python Programming:
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
2. Coding Resources:
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
3. Coding Projects:
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
4. Coding Interviews:
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
5. Java Programming:
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
6. Javascript:
https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
7. Web Development:
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
8. Artificial Intelligence:
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
9. Data Science:
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
10. Machine Learning:
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
11. SQL:
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
12. GitHub:
https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43
ENJOY LEARNING ๐๐
โค3
List of most asked Programming Interview Questions.
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
โค3
When youโre in an interview, itโs super important to know how to talk about your projects in a way that impresses the interviewer. Here are some key points to help you do just that:
โค ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐:
- Start with a quick summary of the project you worked on. What was it all about? What were the main goals? Keep it short and sweet something you can explain in about 30 seconds.
โค ๐ฃ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ ๐ฆ๐๐ฎ๐๐ฒ๐บ๐ฒ๐ป๐:
- What problem were you trying to solve with this project? Explain why this problem was important and needed addressing.
โค ๐ฃ๐ฟ๐ผ๐ฝ๐ผ๐๐ฒ๐ฑ ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป:
- Describe the solution you came up with. How does it work, and why is it a good fix for the problem?
โค ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ผ๐น๐ฒ:
- Talk about what you specifically did. What were your main tasks? Did you face any challenges, and how did you overcome them? Make sure itโs clear whether you were leading the project, a key player, or supporting the team.
โค ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ง๐ผ๐ผ๐น๐:
- Mention the tech and tools you used. This shows your technical know-how and your ability to choose the right tools for the job.
โค ๐๐บ๐ฝ๐ฎ๐ฐ๐ ๐ฎ๐ป๐ฑ ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐:
- Share the results of your project. Did it make things better? How? Mention any improvements, efficiencies, or positive feedback you got.
โค ๐ง๐ฒ๐ฎ๐บ ๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Talk about how you collaborated. What was your role in the team? How did you communicate and contribute to the teamโs success?
โค ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐:
- Reflect on what you learned from the project. What new skills did you gain, and what would you do differently next time?
โค ๐ง๐ถ๐ฝ๐ ๐ณ๐ผ๐ฟ ๐ฌ๐ผ๐๐ฟ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ฃ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Be ready with a 30 second elevator pitch about your projects, and also have a five-minute detailed overview ready.
- If thereโs a pause after you describe the project, donโt hesitate to ask if theyโd like more details or if thereโs a specific part theyโre interested in.
By preparing your project details thoroughly and understanding what the interviewer is looking for, you can talk about your experience in a way that really showcases your skills and increases your chances of getting the job.
Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
โค ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐:
- Start with a quick summary of the project you worked on. What was it all about? What were the main goals? Keep it short and sweet something you can explain in about 30 seconds.
โค ๐ฃ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ ๐ฆ๐๐ฎ๐๐ฒ๐บ๐ฒ๐ป๐:
- What problem were you trying to solve with this project? Explain why this problem was important and needed addressing.
โค ๐ฃ๐ฟ๐ผ๐ฝ๐ผ๐๐ฒ๐ฑ ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป:
- Describe the solution you came up with. How does it work, and why is it a good fix for the problem?
โค ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ผ๐น๐ฒ:
- Talk about what you specifically did. What were your main tasks? Did you face any challenges, and how did you overcome them? Make sure itโs clear whether you were leading the project, a key player, or supporting the team.
โค ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ง๐ผ๐ผ๐น๐:
- Mention the tech and tools you used. This shows your technical know-how and your ability to choose the right tools for the job.
โค ๐๐บ๐ฝ๐ฎ๐ฐ๐ ๐ฎ๐ป๐ฑ ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐:
- Share the results of your project. Did it make things better? How? Mention any improvements, efficiencies, or positive feedback you got.
โค ๐ง๐ฒ๐ฎ๐บ ๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Talk about how you collaborated. What was your role in the team? How did you communicate and contribute to the teamโs success?
โค ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐:
- Reflect on what you learned from the project. What new skills did you gain, and what would you do differently next time?
โค ๐ง๐ถ๐ฝ๐ ๐ณ๐ผ๐ฟ ๐ฌ๐ผ๐๐ฟ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ฃ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
- Be ready with a 30 second elevator pitch about your projects, and also have a five-minute detailed overview ready.
- If thereโs a pause after you describe the project, donโt hesitate to ask if theyโd like more details or if thereโs a specific part theyโre interested in.
By preparing your project details thoroughly and understanding what the interviewer is looking for, you can talk about your experience in a way that really showcases your skills and increases your chances of getting the job.
Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
โค3
Importance of AI in Data Analytics
AI is transforming the way data is analyzed and insights are generated. Here's how AI adds value in data analytics:
1. Automated Data Cleaning
AI helps in detecting anomalies, missing values, and outliers automatically, improving data quality and saving analysts hours of manual work.
2. Faster & Smarter Decision Making
AI models can process massive datasets in seconds and suggest actionable insights, enabling real-time decision-making.
3. Predictive Analytics
AI enables forecasting future trends and behaviors using machine learning models (e.g., sales predictions, churn forecasting).
4. Natural Language Processing (NLP)
AI can analyze unstructured data like reviews, feedback, or comments using sentiment analysis, keyword extraction, and topic modeling.
5. Pattern Recognition
AI uncovers hidden patterns, correlations, and clusters in data that traditional analysis may miss.
6. Personalization & Recommendation
AI algorithms power recommendation systems (like on Netflix, Amazon) that personalize user experiences based on behavioral data.
7. Data Visualization Enhancement
AI auto-generates dashboards, chooses best chart types, and highlights key anomalies or insights without manual intervention.
8. Fraud Detection & Risk Analysis
AI models detect fraud and mitigate risks in real-time using anomaly detection and classification techniques.
9. Chatbots & Virtual Analysts
AI-powered tools like ChatGPT allow users to interact with data using natural language, removing the need for technical skills.
10. Operational Efficiency
AI automates repetitive tasks like report generation, data transformation, and alertsโfreeing analysts to focus on strategy.
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
#dataanalytics
AI is transforming the way data is analyzed and insights are generated. Here's how AI adds value in data analytics:
1. Automated Data Cleaning
AI helps in detecting anomalies, missing values, and outliers automatically, improving data quality and saving analysts hours of manual work.
2. Faster & Smarter Decision Making
AI models can process massive datasets in seconds and suggest actionable insights, enabling real-time decision-making.
3. Predictive Analytics
AI enables forecasting future trends and behaviors using machine learning models (e.g., sales predictions, churn forecasting).
4. Natural Language Processing (NLP)
AI can analyze unstructured data like reviews, feedback, or comments using sentiment analysis, keyword extraction, and topic modeling.
5. Pattern Recognition
AI uncovers hidden patterns, correlations, and clusters in data that traditional analysis may miss.
6. Personalization & Recommendation
AI algorithms power recommendation systems (like on Netflix, Amazon) that personalize user experiences based on behavioral data.
7. Data Visualization Enhancement
AI auto-generates dashboards, chooses best chart types, and highlights key anomalies or insights without manual intervention.
8. Fraud Detection & Risk Analysis
AI models detect fraud and mitigate risks in real-time using anomaly detection and classification techniques.
9. Chatbots & Virtual Analysts
AI-powered tools like ChatGPT allow users to interact with data using natural language, removing the need for technical skills.
10. Operational Efficiency
AI automates repetitive tasks like report generation, data transformation, and alertsโfreeing analysts to focus on strategy.
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
#dataanalytics
โค4
Tips for Google Interview Preparation
Now that we know all about the hiring process of Google, here are a few tips which you can use to crack Googleโs interview and get a job.
Understand the work culture at Google well - It is always good to understand how the company works and what are the things that are expected out of an employee at Google. This shows that you are really interested in working at Google and leaves a good impression on the interviewer as well.
Be Thorough with Data Structures and Algorithms - At Google, there is always an appreciation for good problem solvers. If you want to have a good impression on the interviewers, the best way is to prove that you have worked a lot on developing your logic structures and solving algorithmic problems. A good understanding of Data Structures and Algorithms and having one or two good projects always earn you brownie points with Amazon.
Use the STAR method to format your Response - STAR is an acronym for Situation, Task, Action, and Result. The STAR method is a structured way to respond to behavioral based interview questions. To answer a provided question using the STAR method, you start by describing the situation that was at hand, the Task which needed to be done, the action taken by you as a response to the Task, and finally the Result of the experience. It is important to think about all the details and recall everyone and everything that was involved in the situation. Let the interviewer know how much of an impact that experience had on your life and in the lives of all others who were involved. It is always a good practice to be prepared with a real-life story that you can describe using the STAR method.
Know and Describe your Strengths - Many people who interview at various companies, stay shy during the interviews and feel uncomfortable when they are asked to describe their strengths. Remember that if you do not show how good you are at the skills you know, no one will ever be able to know about the same and this might just cost you a lot. So it is okay to think about yourself and highlight your strengths properly and honestly as and when required.
Discuss with your interviewer and keep the conversation going - Remember that an interview is not a written exam and therefore even if you come up with the best of solutions for the given problems, it is not worth anything until and unless the interviewer understands what you are trying to say. Therefore, it is important to make the interviewer that he or she is also a part of the interview. Also, asking questions might always prove to be helpful during the interview.
Now that we know all about the hiring process of Google, here are a few tips which you can use to crack Googleโs interview and get a job.
Understand the work culture at Google well - It is always good to understand how the company works and what are the things that are expected out of an employee at Google. This shows that you are really interested in working at Google and leaves a good impression on the interviewer as well.
Be Thorough with Data Structures and Algorithms - At Google, there is always an appreciation for good problem solvers. If you want to have a good impression on the interviewers, the best way is to prove that you have worked a lot on developing your logic structures and solving algorithmic problems. A good understanding of Data Structures and Algorithms and having one or two good projects always earn you brownie points with Amazon.
Use the STAR method to format your Response - STAR is an acronym for Situation, Task, Action, and Result. The STAR method is a structured way to respond to behavioral based interview questions. To answer a provided question using the STAR method, you start by describing the situation that was at hand, the Task which needed to be done, the action taken by you as a response to the Task, and finally the Result of the experience. It is important to think about all the details and recall everyone and everything that was involved in the situation. Let the interviewer know how much of an impact that experience had on your life and in the lives of all others who were involved. It is always a good practice to be prepared with a real-life story that you can describe using the STAR method.
Know and Describe your Strengths - Many people who interview at various companies, stay shy during the interviews and feel uncomfortable when they are asked to describe their strengths. Remember that if you do not show how good you are at the skills you know, no one will ever be able to know about the same and this might just cost you a lot. So it is okay to think about yourself and highlight your strengths properly and honestly as and when required.
Discuss with your interviewer and keep the conversation going - Remember that an interview is not a written exam and therefore even if you come up with the best of solutions for the given problems, it is not worth anything until and unless the interviewer understands what you are trying to say. Therefore, it is important to make the interviewer that he or she is also a part of the interview. Also, asking questions might always prove to be helpful during the interview.
โค5
React projects source code ๐
1. React Notes Application - https://github.com/paydendyer/react-notes-app
2. React Pokemon App using PokeAPI - https://github.com/Megh2507/Pokemon-App
3. React Weather Application - https://github.com/topics/react-weather-app
4. React Cryptocurrency Application - https://github.com/Megh2507/React-Crypto-App
5. React Password Generator - https://github.com/Megh2507/react_password_generator
6. Photo Gallery Application- https://github.com/chrisblakely01/react-node-photo-gallery
7. React Chat Application - https://github.com/WebDevSimplified/Whatsapp-Clone
8. React Movie and Series Application - https://github.com/piyush-eon/react-entertainment-hub
9. Instagram Clone - https://github.com/topics/instagram-clone
10. E-Commerce Application - https://github.com/meabhisingh/mernProjectEcommerce
1. React Notes Application - https://github.com/paydendyer/react-notes-app
2. React Pokemon App using PokeAPI - https://github.com/Megh2507/Pokemon-App
3. React Weather Application - https://github.com/topics/react-weather-app
4. React Cryptocurrency Application - https://github.com/Megh2507/React-Crypto-App
5. React Password Generator - https://github.com/Megh2507/react_password_generator
6. Photo Gallery Application- https://github.com/chrisblakely01/react-node-photo-gallery
7. React Chat Application - https://github.com/WebDevSimplified/Whatsapp-Clone
8. React Movie and Series Application - https://github.com/piyush-eon/react-entertainment-hub
9. Instagram Clone - https://github.com/topics/instagram-clone
10. E-Commerce Application - https://github.com/meabhisingh/mernProjectEcommerce
โค2
Complete Web Development Roadmap ๐๐
1. Introduction to Web Development
- What is Web Development?
- Frontend vs Backend
- Full Stack Development
- Roles and Responsibilities of Web Developers
2. HTML (HyperText Markup Language)
- Basics of HTML
- HTML5 Features
- Semantic Elements
- Forms and Inputs
- Accessibility in HTML
3. CSS (Cascading Style Sheets)
- Basics of CSS
- CSS Grid
- Flexbox
- CSS Animations
- Media Queries for Responsive Design
4. JavaScript (JS)
- Introduction to JavaScript
- Variables, Loops, and Functions
- DOM Manipulation
- ES6+ Features
- Async JS (Promises, Async/Await)
5. Version Control with Git
- What is Git?
- Git Commands (add, commit, push, pull, etc.)
- Branching and Merging
- Using GitHub/GitLab
- Collaboration with Git
6. Frontend Frameworks and Libraries
- React.js Basics
- Vue.js Basics
- Angular Basics
- Component-Based Architecture
- State Management (Redux, Vuex)
7. CSS Frameworks
- Bootstrap
- Tailwind CSS
- Materialize CSS
- CSS Preprocessors (SASS, LESS)
8. Backend Development
- Introduction to Server-Side Programming
- Node.js
- Express.js
- Django or Flask (Python)
- Ruby on Rails
- Java with Spring Framework
9. Databases
- SQL vs NoSQL
- MySQL/PostgreSQL
- MongoDB
- Database Relationships
- CRUD Operations
10. RESTful APIs and GraphQL
- REST API Basics
- CRUD Operations in APIs
- Postman for API Testing
- GraphQL Introduction
- Fetching Data with GraphQL
11. Authentication and Security
- Basic Authentication
- OAuth and JWT
- Securing Routes
- HTTPS and SSL Certificates
- Web Security Best Practices
12. Web Hosting and Deployment
- Shared vs VPS Hosting
- Deploying with Netlify or Vercel
- Domain Names and DNS
- Continuous Deployment with CI/CD
13. DevOps Basics
- Containerization with Docker
- CI/CD Pipelines
- Automation and Deployment
14. Web Performance Optimization
- Browser Caching
- Minification and Compression
- Image Optimization
- Lazy Loading
- Performance Testing
15. Progressive Web Apps (PWA)
- What are PWAs?
- Service Workers
- Web App Manifest
- Offline Functionality
- Push Notifications
16. Mobile-First and Responsive Design
- Mobile-First Approach
- Responsive Layouts
- Frameworks for Responsive Design
- Testing Mobile Responsiveness
17. Testing and Debugging
- Unit Testing (Jest, Mocha)
- Integration and End-to-End Testing (Cypress, Selenium)
- Debugging JavaScript
- Browser DevTools
- Performance and Load Testing
18. WebSocket and Real-Time Communication
- Introduction to WebSocket
- Real-Time Data with WebSocket
- Server-Sent Events
- Chat Application Example
- Using Libraries like Socket.io
19. GraphQL vs REST APIs
- Differences between REST and GraphQL
- Querying with GraphQL
- Mutations in GraphQL
- Setting up a GraphQL Server
20. Web Animations
- CSS Animations and Transitions
- JavaScript-Based Animations (GSAP)
- Performance Optimization for Animations
21. CMS (Content Management Systems)
- What is a CMS?
- Headless CMS (Strapi, Contentful)
- Customizing CMS with Plugins and Themes
22. Serverless Architecture
- Introduction to Serverless
- AWS Lambda, Google Cloud Functions
- Building Serverless APIs
Additional Tips:
- Building your own Portfolio
- Freelancing and Remote Jobs
Web Development Resources ๐๐
Intro to HTML and CSS
Intro to Backend
Intro to JavaScript
Web Development for Beginners
Object-Oriented JavaScript
Best Web Development Resources
Join @free4unow_backup for more free resources.
ENJOY LEARNING ๐๐
1. Introduction to Web Development
- What is Web Development?
- Frontend vs Backend
- Full Stack Development
- Roles and Responsibilities of Web Developers
2. HTML (HyperText Markup Language)
- Basics of HTML
- HTML5 Features
- Semantic Elements
- Forms and Inputs
- Accessibility in HTML
3. CSS (Cascading Style Sheets)
- Basics of CSS
- CSS Grid
- Flexbox
- CSS Animations
- Media Queries for Responsive Design
4. JavaScript (JS)
- Introduction to JavaScript
- Variables, Loops, and Functions
- DOM Manipulation
- ES6+ Features
- Async JS (Promises, Async/Await)
5. Version Control with Git
- What is Git?
- Git Commands (add, commit, push, pull, etc.)
- Branching and Merging
- Using GitHub/GitLab
- Collaboration with Git
6. Frontend Frameworks and Libraries
- React.js Basics
- Vue.js Basics
- Angular Basics
- Component-Based Architecture
- State Management (Redux, Vuex)
7. CSS Frameworks
- Bootstrap
- Tailwind CSS
- Materialize CSS
- CSS Preprocessors (SASS, LESS)
8. Backend Development
- Introduction to Server-Side Programming
- Node.js
- Express.js
- Django or Flask (Python)
- Ruby on Rails
- Java with Spring Framework
9. Databases
- SQL vs NoSQL
- MySQL/PostgreSQL
- MongoDB
- Database Relationships
- CRUD Operations
10. RESTful APIs and GraphQL
- REST API Basics
- CRUD Operations in APIs
- Postman for API Testing
- GraphQL Introduction
- Fetching Data with GraphQL
11. Authentication and Security
- Basic Authentication
- OAuth and JWT
- Securing Routes
- HTTPS and SSL Certificates
- Web Security Best Practices
12. Web Hosting and Deployment
- Shared vs VPS Hosting
- Deploying with Netlify or Vercel
- Domain Names and DNS
- Continuous Deployment with CI/CD
13. DevOps Basics
- Containerization with Docker
- CI/CD Pipelines
- Automation and Deployment
14. Web Performance Optimization
- Browser Caching
- Minification and Compression
- Image Optimization
- Lazy Loading
- Performance Testing
15. Progressive Web Apps (PWA)
- What are PWAs?
- Service Workers
- Web App Manifest
- Offline Functionality
- Push Notifications
16. Mobile-First and Responsive Design
- Mobile-First Approach
- Responsive Layouts
- Frameworks for Responsive Design
- Testing Mobile Responsiveness
17. Testing and Debugging
- Unit Testing (Jest, Mocha)
- Integration and End-to-End Testing (Cypress, Selenium)
- Debugging JavaScript
- Browser DevTools
- Performance and Load Testing
18. WebSocket and Real-Time Communication
- Introduction to WebSocket
- Real-Time Data with WebSocket
- Server-Sent Events
- Chat Application Example
- Using Libraries like Socket.io
19. GraphQL vs REST APIs
- Differences between REST and GraphQL
- Querying with GraphQL
- Mutations in GraphQL
- Setting up a GraphQL Server
20. Web Animations
- CSS Animations and Transitions
- JavaScript-Based Animations (GSAP)
- Performance Optimization for Animations
21. CMS (Content Management Systems)
- What is a CMS?
- Headless CMS (Strapi, Contentful)
- Customizing CMS with Plugins and Themes
22. Serverless Architecture
- Introduction to Serverless
- AWS Lambda, Google Cloud Functions
- Building Serverless APIs
Additional Tips:
- Building your own Portfolio
- Freelancing and Remote Jobs
Web Development Resources ๐๐
Intro to HTML and CSS
Intro to Backend
Intro to JavaScript
Web Development for Beginners
Object-Oriented JavaScript
Best Web Development Resources
Join @free4unow_backup for more free resources.
ENJOY LEARNING ๐๐
โค5
๐ฅ Top SQL Projects for Data Analytics ๐
If you're preparing for a Data Analyst role or looking to level up your SQL skills, working on real-world projects is the best way to learn!
Here are some must-do SQL projects to strengthen your portfolio. ๐
๐ข Beginner-Friendly SQL Projects (Great for Learning Basics)
โ Employee Database Management โ Build and query HR data ๐
โ Library Book Tracking โ Create a database for book loans and returns
โ Student Grading System โ Analyze student performance data
โ Retail Point-of-Sale System โ Work with sales and transactions ๐ฐ
โ Hotel Booking System โ Manage customer bookings and check-ins ๐จ
๐ก Intermediate SQL Projects (For Stronger Querying & Analysis)
โก E-commerce Order Management โ Analyze order trends & customer data ๐
โก Sales Performance Analysis โ Work with revenue, profit margins & KPIs ๐
โก Inventory Control System โ Optimize stock tracking ๐ฆ
โก Real Estate Listings โ Manage and analyze property data ๐ก
โก Movie Rating System โ Analyze user reviews & trends ๐ฌ
๐ต Advanced SQL Projects (For Business-Level Analytics)
๐น Social Media Analytics โ Track user engagement & content trends
๐น Insurance Claim Management โ Fraud detection & risk assessment
๐น Customer Feedback Analysis โ Perform sentiment analysis on reviews โญ
๐น Freelance Job Platform โ Match freelancers with project opportunities
๐น Pharmacy Inventory System โ Optimize stock levels & prescriptions
๐ด Expert-Level SQL Projects (For Data-Driven Decision Making)
๐ฅ Music Streaming Analysis โ Study user behavior & song trends ๐ถ
๐ฅ Healthcare Prescription Tracking โ Identify patterns in medicine usage
๐ฅ Employee Shift Scheduling โ Optimize workforce efficiency โณ
๐ฅ Warehouse Stock Control โ Manage supply chain data efficiently
๐ฅ Online Auction System โ Analyze bidding patterns & sales performance ๐๏ธ
๐ Pro Tip: If you're applying for Data Analyst roles, pick 3-4 projects, clean the data, and create interactive dashboards using Power BI/Tableau to showcase insights!
React with โฅ๏ธ if you want detailed explanation of each project
Share with credits: ๐ https://t.me/sqlspecialist
Hope it helps :)
If you're preparing for a Data Analyst role or looking to level up your SQL skills, working on real-world projects is the best way to learn!
Here are some must-do SQL projects to strengthen your portfolio. ๐
๐ข Beginner-Friendly SQL Projects (Great for Learning Basics)
โ Employee Database Management โ Build and query HR data ๐
โ Library Book Tracking โ Create a database for book loans and returns
โ Student Grading System โ Analyze student performance data
โ Retail Point-of-Sale System โ Work with sales and transactions ๐ฐ
โ Hotel Booking System โ Manage customer bookings and check-ins ๐จ
๐ก Intermediate SQL Projects (For Stronger Querying & Analysis)
โก E-commerce Order Management โ Analyze order trends & customer data ๐
โก Sales Performance Analysis โ Work with revenue, profit margins & KPIs ๐
โก Inventory Control System โ Optimize stock tracking ๐ฆ
โก Real Estate Listings โ Manage and analyze property data ๐ก
โก Movie Rating System โ Analyze user reviews & trends ๐ฌ
๐ต Advanced SQL Projects (For Business-Level Analytics)
๐น Social Media Analytics โ Track user engagement & content trends
๐น Insurance Claim Management โ Fraud detection & risk assessment
๐น Customer Feedback Analysis โ Perform sentiment analysis on reviews โญ
๐น Freelance Job Platform โ Match freelancers with project opportunities
๐น Pharmacy Inventory System โ Optimize stock levels & prescriptions
๐ด Expert-Level SQL Projects (For Data-Driven Decision Making)
๐ฅ Music Streaming Analysis โ Study user behavior & song trends ๐ถ
๐ฅ Healthcare Prescription Tracking โ Identify patterns in medicine usage
๐ฅ Employee Shift Scheduling โ Optimize workforce efficiency โณ
๐ฅ Warehouse Stock Control โ Manage supply chain data efficiently
๐ฅ Online Auction System โ Analyze bidding patterns & sales performance ๐๏ธ
๐ Pro Tip: If you're applying for Data Analyst roles, pick 3-4 projects, clean the data, and create interactive dashboards using Power BI/Tableau to showcase insights!
React with โฅ๏ธ if you want detailed explanation of each project
Share with credits: ๐ https://t.me/sqlspecialist
Hope it helps :)
โค2